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The README now describes the 0.3.0 robustness improvements: messy-numeric
coercion with preserved categories, boolean-column handling, binary
classification metrics for any pair of labels with the recorded positive
class, class-imbalance safety through a stratified split and capped
cross-validation folds, and clear MudraError failures that name the
offending column. There are no code changes in 0.3.1.